Classifying Polyphonic Melodies by Chord Estimation Based on Hidden Markov Model
説明
In this investigation we propose a novel approach for classifying polyphonic melodies. Our main idea comes from for automatic classification of polyphonic melodies by Hidden Markov model where the states correspond to well-tempered chords over the music and the observation sequences to some feature values called pitch spectrum. The similarity among harmonies can be considered by means of the features and well-tempered chords. We show the effectiveness and the usefulness of the approach by some experimental results.
